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Data Scientist, General Software Development at Google (Warsaw, Poland)

Minimum qualifications:

  • Master's Degree in a quantitative discipline (e.g., Statistics, Bioinformatics, Computational Biology, Computer Science, Applied Mathematics, or equivalent practical experience.
  • Experience in machine learning
  • Experience working in data analysis or related fields (e.g., statistician, data scientist, computational biologist, bioinformatician).

Preferred qualifications:

  • Knowledge of multiple tools and techniques of data analysis (SQL, R, Colab)
  • Software Engineering skills (gathering the data for the analysis, perform data filtering and preparation, run all the tests at scale)
  • Experience in a data science role

About the job

At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical rigor and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.


  • Work with large, complex data sets.
  • Solve analysis problems, applying advanced analytical methods as needed.
  • Build and prototype analysis pipelines iteratively to provide insights at scale.
  • Work closely with engineers to identify opportunities for, design, and assess improvements to Google products
At Google, we dont just accept differencewe celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form.